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ABSTRACT
Title |
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IMAGE MINING TECHNIQUES: A LITERATURE SURVEY |
Authors |
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Mahendra S.Makesar, Dr.Nitin A. Koli, Ratnashil N.Khobragade |
Keywords |
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Classification, Pre processing, Segmentation, Feature Extraction, Image Mining, |
Issue Date |
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December 2012 |
Abstract |
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Nowadays, a large portion of information is in visual form; it is essential and certainly pleasing to search for images. Image mining has a variety of applications in various sectors like medical diagnosis, biology, remote sensing, space research, etc.Image mining is a class of analytical techniques that examine a large amount of image data. It has proved highly effective in addressing many important business problems. Comparison among different mining by similarity systems is particularly challenging owing to the great variety of methods implemented to represent likeness and the dependence that the results present of the used image set. |
Page(s) |
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582-585 |
ISSN |
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2229-3345 |
Source |
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Vol. 3, Issue.12 |
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